High-resolution land use and land cover change analysis using GEOBIA and landscape metrics: A case of Istanbul, Turkey

Raziye Hale Topaloğlu, Gül Asli Aksu, Yusuf Alizade Govarchin Ghale, Elif Sertel*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

Determination of the spatio-temporal distribution of Land use and Land cover (LU/LC) is important to understand the dynamics of urbanization, agricultural abandonment, and industrialization. This study aims to create multi-temporal high-resolution LU/LC maps and analyze thematically extensive LU/LC changes using Geographic Object-Based Image Analysis (GEOBIA) and Landscape Metrics for the selected study region in the Istanbul metropolitan city of Turkey. HR SPOT 6/7 images acquired in 2009, 2013, and 2019 were used as main Earth Observation data to create LU/LC maps. Open-source geospatial data were also integrated into classification to better identify some LU/LC classes to increase total classification accuracy. Overall classification accuracy of 2009, 2013, and 2019 dated LU/LC maps are 87.45%, 88.16%, 90.74% respectively. Principal Component Analysis (PCA) and Pearson correlation were used to selecting the landscape metrics and evaluate the results. PCA resulted in three principal components and the total variance was found as 87.3%.

Original languageEnglish
Pages (from-to)9071-9097
Number of pages27
JournalGeocarto International
Volume37
Issue number25
DOIs
Publication statusPublished - 2022

Bibliographical note

Publisher Copyright:
© 2021 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • CORINE
  • Geographic Object-Based Image Analysis (GEOBIA)
  • Landscape Metrics
  • SPOT
  • URBAN ATLAS

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